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    <title>天猫双11成交2684亿，刷脸取件火热，它和刷脸支付有区别吗？-爱智付</title>
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            <div class="news-title">天猫双11成交2684亿，刷脸取件火热，它和刷脸支付有区别吗？</div>
            <div class="news-time">2019-11-13</div>
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                <p>2019年11月11日，天猫成交额再创新高，全天成交总额2684亿元人民币。买买买的狂欢之后，迎来的是物流公司的加班加点和“剁手族”的翘首期盼。幸运的是有各种“黑科技”助力配送，比如刷脸取件。</p>
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                <p>所谓的刷脸取件，是指消费者通过带人脸识别功能的智能快递柜取件时，不用掏手机、不用查短信、输密码，直接刷脸就能取件，平均效率提升50%，可以为物流公司节省40%的人力成本，更加高效便捷。</p>
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                <p>话虽日此，刷脸取件还是引发了人们对于安全的担忧，因为就在上个月，网易财经就报道了一则小学生用打印照片代替真人刷脸，成功取出父母快递的新闻。为什么照片可以成功刷脸取件？那同样基于人脸识别技术的支付宝微信刷脸支付又是否安全？今天爱智付就为您逐一解答。</p>
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                <p>人脸识别技术可以分为两大类，即2D人脸识别和3D人脸识别。其中2D人脸识别图像数据获取比较简单，只需一个普通摄像头即可，技术难度及成本相对较低，所以基于2D图像数据的人脸识别是目前的主流，在安防、监控、门禁、考勤等多种场景中都有应用，但由于2D信息存在深度数据丢失的局限性，无法完整的表达出真实人脸，所以在实际应用中存在着一些不足，例如识别准确率不高、活体检测准确率不高等，通过照片很容易被破解，新闻事件中被“冒领”的智能快递柜使用的就是2D人脸识别技术。</p>
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                <p>而3D人脸识别摄像头则应用了3D结构光、TOF、双目立体视觉等成像原理，简单来说就是将具有一定结构特征的光线投射到被拍摄物体上，再由专门的红外摄像头进行采集，此外还将结合人体姿势、表情形成三维集合信息，最终得到三维数据， 3D人脸模型比2D人脸模型有更强的描述能力，能更好的表达出真实人脸，所以基于3D数据的人脸识别不管识别准确率还是活体检测准确率都有很大的提高，而它的开发难度以及对硬件的要求都远高于2D人脸识别。</p>
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                <p>支付宝微信的刷脸支付使用的就是安全等级最高的3D活体检测技术，综合使用3D、红外、RGB等多模态信息，可以有效抵御视频、纸片、面具等的攻击，其安全性与准确性都达到金融级，同时，支付宝微信支付会通过多维度安全风控策略确保账户安全，且提供多因子校验，部分用户需要输入手机号进行校验，进一步提高了安全性。</p>
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                <p>如出现账户冒用、盗刷等小概率风险事件造成资金损失的，支付宝微信支付也会提供全额赔付保障，所以完全不用担心刷脸支付安全问题。</p>
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